课题基金 / 基金详情

Causes and consequences of spatio-temporal variation of species interactions at the community scale

Causes and consequences of spatio-temporal variation of species interactions at the community scale
群落尺度物种相互作用时空变化的原因和后果
批准号:
RGPIN-2015-06280
负责人:
Poisot, Timothée
金额:
$1.89万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

项目摘要

项目成果

Poisot, Timothée的其他基金

相似基金

相关文献

中文摘要
翻译
物种之间的相互作用是生态系统特性和人类福祉的关键。昆虫为农作物授粉可以提供食物,海胆吃海藻可以防止沿海地区的藻华,食肉动物的存在可以控制猎物的数量。然而,人们通常认为物种之间的相互作用是恒定的,或者换句话说,相同的两个物种在不同的环境中会以相同的方式相互作用。最近对实地观察的分析表明,情况并非如此;就像物种在地理范围上的变化一样,相互作用也是如此。我的研究计划旨在为这种变化提供解释,并在这些新知识的基础上,建立我们对生态系统属性如何随时间或空间变化的预测。这一研究项目最重要的预测成果之一是能够根据测量数据预测两个物种在给定环境中相互作用的概率。我将使用相对较新的计算生态学领域的工具来解决这些问题,该领域建立在高性能模拟和统计方法的基础上,旨在分析超大数据集。虽然我的研究活动是理论性的,但我将与实证科学家密切合作。这种合作将使我能够获得高质量的观察结果,并以对不同系统的自然历史的丰富知识为后盾。这种密切的合作也将确保我将取得的理论进步,特别是我将开发的新工具和方法,是基于具有自然系统第一手知识的研究人员的问题和观察。特别是,我将确保我所培养的所有学生都有机会花一些时间研究一个实证系统,这样他们就可以为弥合理论科学和实证科学之间的差距做出贡献。除了为基础科学家提供新的机制和理论命题之外,我希望我的工作能够吸引管理者和利益相关者,因为它将提供一种预测生态群落结构的新方法。这将有助于更好地预测物种入侵和环境变化的影响,例如,对需要保护的生态系统特性的影响
英文摘要
Interactions between species are key both to the properties of ecosystems, and to the well-being of human populations. Pollination of agricultural crops by insects allows the provision of food, grazing of algae by sea urchins prevents algal blooms in coastal areas, and the presence of predators keep the population size of their preys in check. Yet, it has often been assumed that interactions between species are constant, or in other words, that the same two species will interact in the same ways in different contexts. Recent analysis of field observations show that this is not the case; much in the same way that species vary in their geographical range, so too do interactions. My research program seeks to provide explanations to this variation, and building on this new knowledge, to establish predictions about how we expect ecosystem properties to change in time or space. One of the most important predicted output of this research program is the ability to predict, based on measured data, the probability that two species will interact in a given environment. I will use tools from the relatively new field of computational ecology, which builds on high-performance simulations and statistical methods designed to analyse extremely large datasets, to address these questions. Although my research activities are theoretical, I will work in close association with empirical scientists. This collaboration will allow me to have access to high-quality observations backed by robust knowledge of the natural history of the different systems. This close collaborations will also ensure that the theoretical advances I will make, and in particular the new tools and methods I will develop, are grounded in the questions and observations of researchers with first-hand knowledge of natural systems. In particular, I will make sure that all the students I train have the opportunity to spend some time working on an empirical system, so that they can contribute to bridging the gap between theoretical and empirical science. In addition to providing new mechanisms and theoretical propositions for fundamental scientists to build upon, I expect that my work will appeal to managers and stakeholders, as it will provide a new way to forecast the structure of ecological communities. This will allow better predictions of the effects of species invasions and environmental changes, for example, on ecosystem properties in need of preservation.**
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
The many paths to ecological network inference: reconciling machine learning, empirical data, and ecological knowledge
  • 批准号:
    RGPAS-2021-00015
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
  • 资助金额:
    $2.91万
  • 财政年份:
    2022
  • 负责人:
    Poisot, Timothée
  • 依托单位:
The many paths to ecological network inference: reconciling machine learning, empirical data, and ecological knowledge
  • 批准号:
    RGPIN-2021-03112
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2022
  • 负责人:
    Poisot, Timothée
  • 依托单位:
The many paths to ecological network inference: reconciling machine learning, empirical data, and ecological knowledge
  • 批准号:
    RGPAS-2021-00015
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
  • 资助金额:
    $2.91万
  • 财政年份:
    2021
  • 负责人:
    Poisot, Timothée
  • 依托单位:
The many paths to ecological network inference: reconciling machine learning, empirical data, and ecological knowledge
  • 批准号:
    RGPIN-2021-03112
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.4万
  • 财政年份:
    2021
  • 负责人:
    Poisot, Timothée
  • 依托单位:
国内基金
海外基金
Exposing Verifiable Consequences of the Emergence of Mass
  • 批准号:
    12135007
  • 项目类别:
    重点项目
  • 资助金额:
    313万元
  • 批准年份:
    2021
  • 负责人:
    Craig Darrian Roberts
  • 依托单位:
Accretion variability and its consequences: from protostars to planet-forming disks
  • 批准号:
    12173003
  • 项目类别:
    面上项目
  • 资助金额:
    60万元
  • 批准年份:
    2021
  • 负责人:
    沈雷歌
  • 依托单位:
Consequences of MALT1 mutation for B cell tolerance
  • 批准号:
    32100719
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    James Qun Wang
  • 依托单位: